CAJ | 학술논문

随互联网的普及和发展，电子商务网站的数量急剧增长，电子商务网站需要通过对在线销售商品进行标注以方便用户进行搜索。本文是通过提取类别图像和测试图像的PHOG全部特征，然后计算两者之间的距离，测试图像与类别图像距离比较近的就属于同一类图像。我们利用MATLAB语言设计出了能够实现这一性能的分类并计算的方法。实验证明本文所用的方法灵活性好，准确性高。
수호련망적보급화발전，전자상무망참적수량급극증장，전자상무망참수요통과대재선소수상품진행표주이방편용호진행수색。본문시통과제취유별도상화측시도상적PHOG전부특정，연후계산량자지간적거리，측시도상여유별도상거리비교근적취속우동일류도상。아문이용MATLAB어언설계출료능구실현저일성능적분류병계산적방법。실험증명본문소용적방법령활성호，준학성고。
The development and popularization of the Internet,the rapid growth of the number of e-commerce web site,sales of commodity on needs the annotation to facilitate users to search for in e-commerce site. In this paper,through the extraction category image and test image PHOG feature,then calculate the distance between the test image and categories.if the distance is in the range,it belongs to the same class of image.We use MATLAB language to design the classification to achieve this performance and calculation method.Experiments show that this method is good flexibility,high accuracy.